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add vit large configs and checkpoint (PaddlePaddle#139)
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128
task/classification/vit/configs/ViT_large_patch16_224_in22k_4n32c_dp_fp16o2.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,128 @@ | ||
| # global configs | ||
| Global: | ||
| checkpoint: null | ||
| pretrained_model: null | ||
| output_dir: ./output/ | ||
| device: gpu | ||
| save_interval: 1 | ||
| max_num_latest_checkpoint: 0 | ||
| eval_during_train: True | ||
| eval_interval: 1 | ||
| eval_unit: "epoch" | ||
| accum_steps: 1 | ||
| epochs: 90 | ||
| print_batch_step: 10 | ||
| use_visualdl: False | ||
| seed: 2021 | ||
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| # FP16 setting | ||
| FP16: | ||
| level: O2 | ||
| GradScaler: | ||
| init_loss_scaling: 65536.0 | ||
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| DistributedStrategy: | ||
| data_parallel: True | ||
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| # model architecture | ||
| Model: | ||
| name: ViT_large_patch16_224 | ||
| class_num: 18576 | ||
| drop_rate: 0.1 | ||
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| # loss function config for traing/eval process | ||
| Loss: | ||
| Train: | ||
| - ViTCELoss: | ||
| weight: 1.0 | ||
| epsilon: 0.0001 | ||
| Eval: | ||
| - CELoss: | ||
| weight: 1.0 | ||
|
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||
| LRScheduler: | ||
| name: ViTLRScheduler | ||
| learning_rate: 1e-3 | ||
| decay_type: linear | ||
| warmup_steps: 10000 | ||
|
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||
| Optimizer: | ||
| name: AdamW | ||
| betas: (0.9, 0.999) | ||
| epsilon: 1e-6 | ||
| weight_decay: 0.15 | ||
| exp_avg_force_fp32: True | ||
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| # data loader for train and eval | ||
| DataLoader: | ||
| Train: | ||
| dataset: | ||
| name: ImageNetDataset | ||
| image_root: ./dataset/ImageNet22K/ | ||
| multi_label: True | ||
| class_num: 18576 | ||
| cls_label_path: ./dataset/ImageNet22K/filter_train_list.txt | ||
| transform_ops: | ||
| - DecodeImage: | ||
| to_rgb: True | ||
| channel_first: False | ||
| - RandCropImage: | ||
| size: 224 | ||
| interpolation: bicubic | ||
| backend: pil | ||
| - RandFlipImage: | ||
| flip_code: 1 | ||
| - NormalizeImage: | ||
| scale: 1.0/255.0 | ||
| mean: [0.5, 0.5, 0.5] | ||
| std: [0.5, 0.5, 0.5] | ||
| order: '' | ||
| - ToCHWImage: | ||
| sampler: | ||
| name: DistributedBatchSampler | ||
| batch_size: 128 | ||
| drop_last: True | ||
| shuffle: True | ||
| loader: | ||
| num_workers: 8 | ||
| use_shared_memory: True | ||
|
|
||
| Eval: | ||
| dataset: | ||
| name: ImageNetDataset | ||
| image_root: ./dataset/ImageNet22K/ | ||
| cls_label_path: ./dataset/ImageNet22K/filter_val_list.txt | ||
| transform_ops: | ||
| - DecodeImage: | ||
| to_rgb: True | ||
| channel_first: False | ||
| - ResizeImage: | ||
| resize_short: 256 | ||
| interpolation: bicubic | ||
| backend: pil | ||
| - CenterCropImage: | ||
| size: 224 | ||
| - NormalizeImage: | ||
| scale: 1.0/255.0 | ||
| mean: [0.5, 0.5, 0.5] | ||
| std: [0.5, 0.5, 0.5] | ||
| order: '' | ||
| - ToCHWImage: | ||
|
|
||
| sampler: | ||
| name: DistributedBatchSampler | ||
| batch_size: 256 | ||
| drop_last: False | ||
| shuffle: False | ||
| loader: | ||
| num_workers: 8 | ||
| use_shared_memory: True | ||
|
|
||
| Metric: | ||
| Eval: | ||
| - TopkAcc: | ||
| topk: [1, 5] | ||
|
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| Export: | ||
| export_type: paddle | ||
| input_shape: [None, 3, 224, 224] |
129 changes: 129 additions & 0 deletions
129
task/classification/vit/configs/ViT_large_patch16_384_in1k_ft_4n32c_dp_fp16o2.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,129 @@ | ||
| # global configs | ||
| Global: | ||
| checkpoint: null | ||
| finetune: True | ||
| pretrained_model: ./pretrained/ViT_large_patch16_224/latest | ||
| output_dir: ./output/ | ||
| device: gpu | ||
| save_interval: 1 | ||
| max_num_latest_checkpoint: 0 | ||
| eval_during_train: True | ||
| eval_interval: 1 | ||
| eval_unit: "epoch" | ||
| accum_steps: 1 | ||
| epochs: 8 | ||
| print_batch_step: 10 | ||
| use_visualdl: False | ||
| seed: 2021 | ||
|
|
||
| # FP16 setting | ||
| FP16: | ||
| level: O2 | ||
| GradScaler: | ||
| init_loss_scaling: 65536.0 | ||
|
|
||
| DistributedStrategy: | ||
| data_parallel: True | ||
|
|
||
| # model architecture | ||
| Model: | ||
| name: ViT_large_patch16_384 | ||
| class_num: 1000 | ||
| drop_rate: 0.1 | ||
|
|
||
| # loss function config for traing/eval process | ||
| Loss: | ||
| Train: | ||
| - ViTCELoss: | ||
| type: softmax | ||
| weight: 1.0 | ||
| Eval: | ||
| - CELoss: | ||
| weight: 1.0 | ||
|
|
||
| LRScheduler: | ||
| name: ViTLRScheduler | ||
| learning_rate: 0.015 | ||
| decay_type: cosine | ||
| warmup_steps: 500 | ||
|
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||
| Optimizer: | ||
| name: Momentum | ||
| momentum: 0.9 | ||
| weight_decay: 0.0001 | ||
| grad_clip: | ||
| name: ClipGradByGlobalNorm | ||
| clip_norm: 1.2 | ||
|
|
||
| # data loader for train and eval | ||
| DataLoader: | ||
| Train: | ||
| dataset: | ||
| name: ImageNetDataset | ||
| image_root: ./dataset/ILSVRC2012/ | ||
| class_num: 1000 | ||
| cls_label_path: ./dataset/ILSVRC2012/train_list.txt | ||
| transform_ops: | ||
| - DecodeImage: | ||
| to_rgb: True | ||
| channel_first: False | ||
| - RandCropImage: | ||
| size: 384 | ||
| scale: [0.05, 1.0] | ||
| interpolation: bilinear | ||
| backend: pil | ||
| - RandFlipImage: | ||
| flip_code: 1 | ||
| - NormalizeImage: | ||
| scale: 1.0/255.0 | ||
| mean: [0.5, 0.5, 0.5] | ||
| std: [0.5, 0.5, 0.5] | ||
| order: '' | ||
| - ToCHWImage: | ||
|
|
||
| sampler: | ||
| name: DistributedBatchSampler | ||
| batch_size: 16 # total batchsize 512 | ||
| drop_last: True | ||
| shuffle: True | ||
| loader: | ||
| num_workers: 8 | ||
| use_shared_memory: True | ||
|
|
||
| Eval: | ||
| dataset: | ||
| name: ImageNetDataset | ||
| image_root: ./dataset/ILSVRC2012/ | ||
| cls_label_path: ./dataset/ILSVRC2012/val_list.txt | ||
| transform_ops: | ||
| - DecodeImage: | ||
| to_rgb: True | ||
| channel_first: False | ||
| - ResizeImage: | ||
| size: 384 | ||
| interpolation: bilinear | ||
| backend: pil | ||
| - NormalizeImage: | ||
| scale: 1.0/255.0 | ||
| mean: [0.5, 0.5, 0.5] | ||
| std: [0.5, 0.5, 0.5] | ||
| order: '' | ||
| - ToCHWImage: | ||
|
|
||
| sampler: | ||
| name: DistributedBatchSampler | ||
| batch_size: 256 | ||
| drop_last: False | ||
| shuffle: False | ||
| loader: | ||
| num_workers: 8 | ||
| use_shared_memory: True | ||
|
|
||
| Metric: | ||
| Eval: | ||
| - TopkAcc: | ||
| topk: [1, 5] | ||
|
|
||
| Export: | ||
| export_type: paddle | ||
| input_shape: [None, 3, 384, 384] |